Sentence examples for mix of vision from inspiring English sources

The story of Pascal's Shaw adaptation captures perfectly that strange mix of vision, extravagance and muddle-headedness that characterised Rank in his pomp.

Curry is a classical point guard, as close a thing as you will find in professional sport to a perfectly fungible good; Simmons is a basketball project, the type of singular mix of vision, speed and shooting softness that a whole team needs to be carefully calibrated around.

That's why it's so critical that Shlain has taken her unique mix of vision, creativity, and anthropological prowess to the all-important subject of connectedness in the modern life.

Driven by her passion to contribute to a better world, Prefontaine has shared her unique mix of vision, leadership and communications skills to benefit leaders in education, technology, healthcare, finance, tourism and government.

This will require a magical mix of inspired vision and cold hard analysis of biophysical constraints.

This collaboration has produced a mix of creative visions that leads many first-rank actors and playwrights to return to the Goodman time and again.

"I am looking forward to seeing his impressive mix of creativity and vision being put to great effect across the whole of the BBC television portfolio".

In an email announcing his appointment to staff on Wednesday morning, Hall said Cohen, a former controller of BBC3 and E4, had been the "driving force" behind an extremely successful period in BBC1's history and praised his "impressive mix of creativity and vision".

In the case of vision, mixing stimuli that varied along the key perceptual axis of color may have been an intuitively obvious choice, but what perceptual axis should one concentrate on in olfaction?

He has survived as a film-maker for 30 years because he knows that good films are a volatile mix of art and diplomacy, vision and production nous, individual idiosyncrasy and studio savvy.

The review of the sneakers includes an initial, online assessment of photos of every pair, using a mix of human reviewers, computer vision and machine learning.